Insight Global
This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $60.00/hr - $65.00/hr
Candidates MUST go on-site at one of the following locations
Columbus, OH
Cleveland, OH
Indianapolis, IN
Hagerstown, MD
Chicago, IL
Houston, TX
Charlotte, NC
Akron, OH
Experience
Master’s degree
and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Python, R, or SAS SQL and some sort of lending experience (i.e., HELOC, Mortgage) is most important
If a candidate has credit card experience (i.e., Discover or Bread financial) THEY ARE A+ fit!
Education
Master’s degree or PhD in computer science, statistics, economics or related fields
Responsibilities
Prioritizes analytical projects based on business value and technological readiness
Performs large-scale experimentation and build data-driven models to answer business questions
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
Evangelizes best practices to analytics and products teams
Acts as the go-to resource for machine learning across a range of business needs
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s)
Coaches individuals through change and serves as a role model
Skills
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Ability to train more junior analysts regarding day-to-day activities, as necessary
Proven ability to lead cross-functional teams
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
Financial Services background preferred
Seniority level Not Applicable
Employment type Contract
Job function Information Technology
Industries Banking
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Base pay range $60.00/hr - $65.00/hr
Candidates MUST go on-site at one of the following locations
Columbus, OH
Cleveland, OH
Indianapolis, IN
Hagerstown, MD
Chicago, IL
Houston, TX
Charlotte, NC
Akron, OH
Experience
Master’s degree
and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Python, R, or SAS SQL and some sort of lending experience (i.e., HELOC, Mortgage) is most important
If a candidate has credit card experience (i.e., Discover or Bread financial) THEY ARE A+ fit!
Education
Master’s degree or PhD in computer science, statistics, economics or related fields
Responsibilities
Prioritizes analytical projects based on business value and technological readiness
Performs large-scale experimentation and build data-driven models to answer business questions
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
Evangelizes best practices to analytics and products teams
Acts as the go-to resource for machine learning across a range of business needs
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s)
Coaches individuals through change and serves as a role model
Skills
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Ability to train more junior analysts regarding day-to-day activities, as necessary
Proven ability to lead cross-functional teams
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
Financial Services background preferred
Seniority level Not Applicable
Employment type Contract
Job function Information Technology
Industries Banking
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